Reliably Learning the ReLU in Polynomial Time

COLT, 2017.

Cited by: 70|Views65
EI

Abstract:

We give the first dimension-efficient algorithms for learning Rectified Linear Units (ReLUs), which are functions of the form $mathbf{x} mapsto max(0, mathbf{w} cdot mathbf{x})$ with $mathbf{w} mathbb{S}^{n-1}$. algorithm works in the challenging Reliable Agnostic learning model of Kalai, Kanade, and Mansour (2009) where the learner is ...More

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